in particular , our presence in the lte smartphone markets continue to grow as our customers targeting those markets are gaining market share at the expense of the incumbents . during 2017 , we reported 311 million lte chipsets shipped , up from 226 million in 2016. the royalty we derive from smartphones is higher on average than that of feature phones , so we may benefit if and when lte handset markets around the world transition and shift away from feature phones to smartphones , particularly in emerging economies . furthermore , we believe that we may benefit from the base station chip ramp up in coming years , as a large customer of ours is forecasted to start ramping up production in the second half of 2018. our specialization and competitive edge in signal processing platforms for next generation long and short range wireless such as 5g , nb-iot , 802.11ac and 802.11ax wi-fi technologies , and the inherent low cost , power and performance balance of our designs , put us in a strong position to simultaneously capitalize on mass market adoption of such technologies and address multiple markets and product sectors , including handsets , fixed wireless access , macro base stations , remote radio heads , cellular backhaul , small cells , wi-fi routers and a variety of machine type communications such as connected cars , smart cities and industrial markets . together with our presence in the handset baseband market , our bluetooth and wi-fi ips allow us to expand further into iot applications and substantially increase our overall addressable market . our addressable market size is expected to be 35 billion devices by 2020 , per data from abi research . already , shipments of products incorporating our bluetooth ip are sizeable , with more than 200 million ceva-powered bluetooth chips shipped in 2017 , up 45 % from 138 million units in 2016. the growing market potential for voice assisted devices , as voice is becoming the primary user interface for iot applications , including mobile , automotive and consumer devices , offers an additional growth segment for the company in voice enabled devices such as smartphones , headsets , earbuds , smart speakers , smart home and automotive . to better address this market , we recently introduced clearvox , a new voice input software and algorithm , that is offered in conjunction with our audio/voice dsps . clearvox , plus our proven track record in audio/voice processing , with more than 6 billion audio chips shipped to date , puts us in a strong position to power audio and voice roadmaps across this new range of addressable end markets . our ceva-xm4 and ceva-xm6 imaging and vision platforms for deep learning provide highly compelling offerings for any camera-enabled device such as smartphones , tablets , automotive safety ( adas ) , autonomous driving ( ad ) , drones , robotics , security and surveillance , augmented reality ( ar ) and virtual reality ( vr ) , drones , and signage . per abi research , camera shipments are expected to exceed 2.7 billion units by 2018. we have already signed more than 50 licensing agreements for our imaging and vision dsps across those markets , where our customers can add camera-related enhancements such as smarter autofocus , better picture using super resolution algorithms , and better image capture in low-light environments . other customers can add video analytics support to enable new services like augmented reality , gesture recognition and advanced safety capabilities in cars . this transformation in vision processing and neural net software and hardware needs is an opportunity for us to expand our footprint and content in smartphones , tablets , drones , surveillance , automotive adas and industrial iot applications . beyond vision , neural networks are increasingly being deployed for a wide range of markets in order to make devices smarter ' . these markets include iot , smartphones , surveillance , automotive , robotics , medical and industrial . to address this significant and lucrative opportunity , we recently announced neupro - a family of ai processors for deep learning at the edge . these self-contained ai processors are the first non-dsp processors ever developed by ceva and bring the power of deep learning to the device , without relying on connectivity to the cloud . we believe this market opportunity for ai at the edge is on top of our existing product lines and represents a new licensing and royalty driver for the company in the coming years . 33 as a result of our diversification strategy beyond baseband for handsets and our progress in addressing those new markets under the iot umbrella , we expect significant growth in royalty revenues derived from non-handset baseband applications over the next few years , due to a combination of higher unit shipments of bluetooth products that bear lower asps , along with higher asps driven by base station and vision products . notwithstanding the various growth opportunities we have outlined above , our business operates in a highly competitive and cyclical environment . the maintenance of our competitive position and our future growth are dependent on our ability to adapt to ever-changing technologies , short product life cycles , evolving industry standards , changing customer needs and the trend towards internet-of-things , handset baseband , connectivity , and voice , audio and video convergence in the markets that we operate . also , our business relies significantly on revenues derived from a limited number of customers . the discontinuation of product lines or market sectors that incorporate our technology by our significant customers or a change in direction of their business and our inability to adapt our technology to their new business needs could have material negative implications for our future royalty revenues . moreover , competition has historically increased pricing pressures for our products and decreased our average selling prices . story_separator_special_tag in addition , historically , excess tax benefits or deficiencies from our equity awards were recorded as additional paid-in capital in our consolidated balance sheets and were classified as a financing activity in our consolidated statements of cash flows . as a result of adoption , we prospectively record any excess tax benefits or deficiencies from our equity awards as part of our provision for income taxes in our consolidated statements of operations during the reporting periods during which equity vesting occurs . excess tax benefits for share-based payments are presented as an operating activity in the statements of cash flows rather than financing activity . we elected to apply the cash flow classification requirements related to excess tax benefits prospectively in accordance with asu 2016-09 and prior periods have not been adjusted . we estimate the fair value of options and stock appreciation right ( sar ) awards on the date of grant using an option-pricing model . the value of the portion of an award that is ultimately expected to vest is recognized as an expense over the requisite service period in our consolidated statement of income . we recognize compensation expenses for the value of our options and sars , which have graded vesting based on the accelerated attribution method over the requisite service period of each of the awards . prior to january 1 , 2017 , we recognized compensation expenses for the value of our options and sars , net of estimated forfeitures . estimated forfeitures were based on actual historical pre-vesting forfeitures and the rate was adjusted to reflect changes in facts and circumstances , if any . we recognize compensation expenses for the value of our restricted stock unit ( rsu ) awards , based on the straight-line method over the requisite service period of each of the awards . the fair value of each rsu is the market value as determined by the closing price of the common stock on the day of grant . we use the monte-carlo simulation model for options and sars granted . expected volatility was calculated based upon actual historical stock price movements over the most recent periods ending on the grant date , equal to the expected option and sar term . we have historically not paid dividends and have no foreseeable plans to pay dividends . the risk-free interest rate is based on the yield from u.s. treasury zero-coupon bonds with an equivalent term . the monte-carlo model also considers the suboptimal exercise multiple which is based on the average exercise behavior of our employees over the past years , the contractual term of the options and sars , and the probability of termination or retirement of the holder of the options and sars in computing the value of the options and sars . although our management believes that their estimates and judgments about equity-based compensation expense are reasonable , actual results and future changes in estimates may differ substantially from our current estimates . impairment of marketable securities marketable securities consist mainly of corporate bonds . we determine the appropriate classification of marketable securities at the time of purchase and re-evaluate such designation at each balance sheet date . in accordance with fasb asc no . 320 , investment debt and equity securities ,  we classify marketable securities as available-for-sale . available-for-sale securities are stated at fair value , with unrealized gains and losses 38 reported in accumulated other comprehensive income ( loss ) , a separate component of stockholders ' equity , net of taxes . realized gains and losses on sales of marketable securities , as determined on a specific identification basis , are included in financial income , net . the amortized cost of marketable securities is adjusted for amortization of premium and accretion of discount to maturity , both of which , together with interest , are included in financial income , net . we have classified all marketable securities as short-term , even though the stated maturity date may be one year or more beyond the current balance sheet date , because it is probable that we will sell these securities prior to maturity to meet liquidity needs or as part of risk versus reward objectives . we recognize an impairment charge when a decline in the fair value of our investments in debt securities below the cost basis of such securities is judged to be other-than-temporary . the determination of credit losses requires significant judgment and actual results may be materially different from our estimates . factors considered in making such a determination include the duration and severity of the impairment , the reason for the decline in value , the ability of the issuer to meet payment obligations and the potential recovery period . for securities that are deemed other-than-temporarily impaired , the amount of impairment is recognized in the statement of income and is limited to the amount related to credit losses , while impairment related to other factors is recognized in other comprehensive income ( loss ) . during the years ended december 31 , 2015 , 2016 and 2017 , no other-than temporary impairment were recorded related to our marketable securities . recently issued accounting pronouncement ( a ) revenue recognition in may 2014 , the fasb issued new guidance related to revenue recognition , which outlines a comprehensive revenue recognition model and supersedes most current revenue recognition guidance . the new guidance requires a company to recognize revenue as control of goods or services transfers to a customer at an amount that reflects the expected consideration to be received in exchange for those goods or services . it defines a five-step approach for recognizing revenue , which may require a company to use more judgment and make more estimates than under the current guidance . we adopted the new guidance during the first quarter of 2018 and apply the standard using modified retrospective approach , with the cumulative effect of applying the

liquidity and capital resources as of december 31 , 2017 , we had approximately $ 21.7 million in cash and cash equivalents , $ 34.4 million in short term bank deposits , $ 82.7 million in marketable securities , and $ 44.5 million in long term bank deposits , totaling $ 183.3 million , as compared to $ 156.5 million at december 31 , 2016. the increase in 2017 as compared to 2016 principally reflected cash provided by operating activities and cash proceeds from exercise of stock-based awards , offset by the purchase of computers and platform tools , mainly for our research and development activities . out of total cash , cash equivalents , bank deposits and marketable securities of $ 183.3 million at year end 2017 , $ 138.7 million was held by our foreign subsidiaries . our intent is to permanently reinvest earnings of our foreign subsidiaries and our current operating plans do not demonstrate a need to repatriate foreign earnings to fund our u.s. operations . however , if these funds were needed for our operations in the united states , we would be required to accrue and pay taxes to repatriate these funds . the determination of the amount of additional taxes related to the repatriation of these earnings is not practicable , as it may vary based on various factors such as the location of the cash and the effect of regulation in the various jurisdictions from which the cash would be repatriated . during 2017 , we invested $ 101.9 million of cash in bank deposits and marketable securities with maturities up to 57 months from the balance sheet date . in addition , during the same period , bank deposits and marketable securities were sold or redeemed for cash amounting to $ 77.3 million . during 2016 , we invested $ 85.0 million of cash in bank deposits and marketable securities with maturities up to 59 months from the balance sheet date . in addition , during the same period , bank deposits and marketable securities were sold or redeemed for cash amounting to $ 66.4 million .


 Write a concise suspicious activity report of the following text delimited by triple backquotes. Return your response as a formal report which covers the key points highlighting the location,dates,entity names and account holder information in chronological order of the text.
     ```liquidity and capital resources as of december 31 , 2017 , we had approximately $ 21.7 million in cash and cash equivalents , $ 34.4 million in short term bank deposits , $ 82.7 million in marketable securities , and $ 44.5 million in long term bank deposits , totaling $ 183.3 million , as compared to $ 156.5 million at december 31 , 2016. the increase in 2017 as compared to 2016 principally reflected cash provided by operating activities and cash proceeds from exercise of stock-based awards , offset by the purchase of computers and platform tools , mainly for our research and development activities . out of total cash , cash equivalents , bank deposits and marketable securities of $ 183.3 million at year end 2017 , $ 138.7 million was held by our foreign subsidiaries . our intent is to permanently reinvest earnings of our foreign subsidiaries and our current operating plans do not demonstrate a need to repatriate foreign earnings to fund our u.s. operations . however , if these funds were needed for our operations in the united states , we would be required to accrue and pay taxes to repatriate these funds . the determination of the amount of additional taxes related to the repatriation of these earnings is not practicable , as it may vary based on various factors such as the location of the cash and the effect of regulation in the various jurisdictions from which the cash would be repatriated . during 2017 , we invested $ 101.9 million of cash in bank deposits and marketable securities with maturities up to 57 months from the balance sheet date . in addition , during the same period , bank deposits and marketable securities were sold or redeemed for cash amounting to $ 77.3 million . during 2016 , we invested $ 85.0 million of cash in bank deposits and marketable securities with maturities up to 59 months from the balance sheet date . in addition , during the same period , bank deposits and marketable securities were sold or redeemed for cash amounting to $ 66.4 million .
```    
 Suspicious Activity Report : in particular , our presence in the lte smartphone markets continue to grow as our customers targeting those markets are gaining market share at the expense of the incumbents . during 2017 , we reported 311 million lte chipsets shipped , up from 226 million in 2016. the royalty we derive from smartphones is higher on average than that of feature phones , so we may benefit if and when lte handset markets around the world transition and shift away from feature phones to smartphones , particularly in emerging economies . furthermore , we believe that we may benefit from the base station chip ramp up in coming years , as a large customer of ours is forecasted to start ramping up production in the second half of 2018. our specialization and competitive edge in signal processing platforms for next generation long and short range wireless such as 5g , nb-iot , 802.11ac and 802.11ax wi-fi technologies , and the inherent low cost , power and performance balance of our designs , put us in a strong position to simultaneously capitalize on mass market adoption of such technologies and address multiple markets and product sectors , including handsets , fixed wireless access , macro base stations , remote radio heads , cellular backhaul , small cells , wi-fi routers and a variety of machine type communications such as connected cars , smart cities and industrial markets . together with our presence in the handset baseband market , our bluetooth and wi-fi ips allow us to expand further into iot applications and substantially increase our overall addressable market . our addressable market size is expected to be 35 billion devices by 2020 , per data from abi research . already , shipments of products incorporating our bluetooth ip are sizeable , with more than 200 million ceva-powered bluetooth chips shipped in 2017 , up 45 % from 138 million units in 2016. the growing market potential for voice assisted devices , as voice is becoming the primary user interface for iot applications , including mobile , automotive and consumer devices , offers an additional growth segment for the company in voice enabled devices such as smartphones , headsets , earbuds , smart speakers , smart home and automotive . to better address this market , we recently introduced clearvox , a new voice input software and algorithm , that is offered in conjunction with our audio/voice dsps . clearvox , plus our proven track record in audio/voice processing , with more than 6 billion audio chips shipped to date , puts us in a strong position to power audio and voice roadmaps across this new range of addressable end markets . our ceva-xm4 and ceva-xm6 imaging and vision platforms for deep learning provide highly compelling offerings for any camera-enabled device such as smartphones , tablets , automotive safety ( adas ) , autonomous driving ( ad ) , drones , robotics , security and surveillance , augmented reality ( ar ) and virtual reality ( vr ) , drones , and signage . per abi research , camera shipments are expected to exceed 2.7 billion units by 2018. we have already signed more than 50 licensing agreements for our imaging and vision dsps across those markets , where our customers can add camera-related enhancements such as smarter autofocus , better picture using super resolution algorithms , and better image capture in low-light environments . other customers can add video analytics support to enable new services like augmented reality , gesture recognition and advanced safety capabilities in cars . this transformation in vision processing and neural net software and hardware needs is an opportunity for us to expand our footprint and content in smartphones , tablets , drones , surveillance , automotive adas and industrial iot applications . beyond vision , neural networks are increasingly being deployed for a wide range of markets in order to make devices smarter ' . these markets include iot , smartphones , surveillance , automotive , robotics , medical and industrial . to address this significant and lucrative opportunity , we recently announced neupro - a family of ai processors for deep learning at the edge . these self-contained ai processors are the first non-dsp processors ever developed by ceva and bring the power of deep learning to the device , without relying on connectivity to the cloud . we believe this market opportunity for ai at the edge is on top of our existing product lines and represents a new licensing and royalty driver for the company in the coming years . 33 as a result of our diversification strategy beyond baseband for handsets and our progress in addressing those new markets under the iot umbrella , we expect significant growth in royalty revenues derived from non-handset baseband applications over the next few years , due to a combination of higher unit shipments of bluetooth products that bear lower asps , along with higher asps driven by base station and vision products . notwithstanding the various growth opportunities we have outlined above , our business operates in a highly competitive and cyclical environment . the maintenance of our competitive position and our future growth are dependent on our ability to adapt to ever-changing technologies , short product life cycles , evolving industry standards , changing customer needs and the trend towards internet-of-things , handset baseband , connectivity , and voice , audio and video convergence in the markets that we operate . also , our business relies significantly on revenues derived from a limited number of customers . the discontinuation of product lines or market sectors that incorporate our technology by our significant customers or a change in direction of their business and our inability to adapt our technology to their new business needs could have material negative implications for our future royalty revenues . moreover , competition has historically increased pricing pressures for our products and decreased our average selling prices . story_separator_special_tag in addition , historically , excess tax benefits or deficiencies from our equity awards were recorded as additional paid-in capital in our consolidated balance sheets and were classified as a financing activity in our consolidated statements of cash flows . as a result of adoption , we prospectively record any excess tax benefits or deficiencies from our equity awards as part of our provision for income taxes in our consolidated statements of operations during the reporting periods during which equity vesting occurs . excess tax benefits for share-based payments are presented as an operating activity in the statements of cash flows rather than financing activity . we elected to apply the cash flow classification requirements related to excess tax benefits prospectively in accordance with asu 2016-09 and prior periods have not been adjusted . we estimate the fair value of options and stock appreciation right ( sar ) awards on the date of grant using an option-pricing model . the value of the portion of an award that is ultimately expected to vest is recognized as an expense over the requisite service period in our consolidated statement of income . we recognize compensation expenses for the value of our options and sars , which have graded vesting based on the accelerated attribution method over the requisite service period of each of the awards . prior to january 1 , 2017 , we recognized compensation expenses for the value of our options and sars , net of estimated forfeitures . estimated forfeitures were based on actual historical pre-vesting forfeitures and the rate was adjusted to reflect changes in facts and circumstances , if any . we recognize compensation expenses for the value of our restricted stock unit ( rsu ) awards , based on the straight-line method over the requisite service period of each of the awards . the fair value of each rsu is the market value as determined by the closing price of the common stock on the day of grant . we use the monte-carlo simulation model for options and sars granted . expected volatility was calculated based upon actual historical stock price movements over the most recent periods ending on the grant date , equal to the expected option and sar term . we have historically not paid dividends and have no foreseeable plans to pay dividends . the risk-free interest rate is based on the yield from u.s. treasury zero-coupon bonds with an equivalent term . the monte-carlo model also considers the suboptimal exercise multiple which is based on the average exercise behavior of our employees over the past years , the contractual term of the options and sars , and the probability of termination or retirement of the holder of the options and sars in computing the value of the options and sars . although our management believes that their estimates and judgments about equity-based compensation expense are reasonable , actual results and future changes in estimates may differ substantially from our current estimates . impairment of marketable securities marketable securities consist mainly of corporate bonds . we determine the appropriate classification of marketable securities at the time of purchase and re-evaluate such designation at each balance sheet date . in accordance with fasb asc no . 320 , investment debt and equity securities ,  we classify marketable securities as available-for-sale . available-for-sale securities are stated at fair value , with unrealized gains and losses 38 reported in accumulated other comprehensive income ( loss ) , a separate component of stockholders ' equity , net of taxes . realized gains and losses on sales of marketable securities , as determined on a specific identification basis , are included in financial income , net . the amortized cost of marketable securities is adjusted for amortization of premium and accretion of discount to maturity , both of which , together with interest , are included in financial income , net . we have classified all marketable securities as short-term , even though the stated maturity date may be one year or more beyond the current balance sheet date , because it is probable that we will sell these securities prior to maturity to meet liquidity needs or as part of risk versus reward objectives . we recognize an impairment charge when a decline in the fair value of our investments in debt securities below the cost basis of such securities is judged to be other-than-temporary . the determination of credit losses requires significant judgment and actual results may be materially different from our estimates . factors considered in making such a determination include the duration and severity of the impairment , the reason for the decline in value , the ability of the issuer to meet payment obligations and the potential recovery period . for securities that are deemed other-than-temporarily impaired , the amount of impairment is recognized in the statement of income and is limited to the amount related to credit losses , while impairment related to other factors is recognized in other comprehensive income ( loss ) . during the years ended december 31 , 2015 , 2016 and 2017 , no other-than temporary impairment were recorded related to our marketable securities . recently issued accounting pronouncement ( a ) revenue recognition in may 2014 , the fasb issued new guidance related to revenue recognition , which outlines a comprehensive revenue recognition model and supersedes most current revenue recognition guidance . the new guidance requires a company to recognize revenue as control of goods or services transfers to a customer at an amount that reflects the expected consideration to be received in exchange for those goods or services . it defines a five-step approach for recognizing revenue , which may require a company to use more judgment and make more estimates than under the current guidance . we adopted the new guidance during the first quarter of 2018 and apply the standard using modified retrospective approach , with the cumulative effect of applying the

