text: the following description applies a single carrier signal as well as to a multi - carrier signal . fig2 shows a flow diagram for a possible implementation of the clipping method according to the present invention . in the following , a signal s ( t ) to be clipped will be decomposed in its in - phase i ( t ) and in - quadrature q ( t ) components so that s ( t )=( i ( t ), q ( t )). according to prior art method clipping is performed if the signal power p max at a peak maximum is higher than a predefined threshold tclip , fulfilling the following equation : ( i being the index referencing the considered peak ) p 2 max ( i )= i 2 max ( i )+ q 2 max ( i )& gt ; t clip 2 ( 1 ) a scaling factor s ( i ) for the peak referenced with the index i is applied to the components i and q of the signal s where : dirac impulses d i , resp d q with s ( i )* i max ( i ), resp . s ( i )* q max ( i ) as amplitude and located at the position of the peak maximum i max ( i ), resp . q max ( i ) in each signal component i and q . the influence on any sample ( i , q ) of the signal resulting from the application of the scaling factor calculated for one single isolated peak referenced with index i is obtained with the following equations : where δ i is the distance between sample ( i , q ) and the peak ( i max ( i ), q max ( i )). the clipping of the peak ( i max ( i ), q max ( i )) itself is obtained when setting δ = 0 , δ ( 0 )= 1 ): i max c ( i )= i max ( i )− d i ( i )* δ ( δ )= i max ( i )− i max ( i )* s ( i ) ( 4a ) q max c ( i )= q max ( i )− d q ( i )* δ ( δ )= q max ( i )− q max ( i )* s ( i ) ( 4b ) [ i max c ( i )] 2 +[ q max c ( i )] 2 = t clip 2 . ( 5 ) now , the influence on any sample ( i , q ) of the signal caused by the successive clipping of m peaks is given by : where δ i is the distance between sample ( i , q ) and peak j . the influence experienced by one peak ( i max ( i ), q max ( i )) resulting from the application of the corresponding scaling factors to all m peaks is obtained as follows : it will be clear for a person skilled in the art that in this case the condition [ i max ( i ) c ] 2 +[ q max c ( i )] 2 = t clip 2 is not fulfilled . if a first peak ( i ( 1 ), q ( 1 )) and a second peak ( i ( 2 ), q ( 2 )) are separated by a distance δ , the following clipped signals are obtained : using δ ( 0 )= 1 , setting s i ( δ )= s ( i )* δ ( δ ), s i ( 0 )= s ( i )* δ ( 0 )= s ( i ) and replacing d i ( i )= s ( i )* i max ( i ), resp d q ( i )= s ( i )* q max ( i ) ( from equation 3a , 3b ), the following equation system is obtained : i max c ( 1 )= i max ( 1 )−[ s 1 ( 0 )* i max ( 1 )+ s 2 ( δ )* i max ( 2 )] q max c ( 1 )= q max ( 1 )−[ s 1 ( 0 )* q max ( 1 )+ s 2 ( δ )* q max ( 2 )] i max c ( 2 )= i max ( 2 )−[ s 1 ( δ )* i max ( 1 )+ s 2 ( 0 )* i max ( 2 )] q max c ( 2 )= q max ( 2 )−[ s 1 ( δ )* q max ( 1 )+ s 2 ( 0 )* q max ( 2 )] the terms s 1 ( δ ) resp . s 2 ( δ ) represent the influence of the second peak on the first peak , resp . the influence of the first peak on the second peak . according to the present invention , corrected signals ( i max ( 1 )*, q max ( 1 )*) resp ( i max ( 2 )*, q max ( 2 )*) taking into account the influence of the other signal are calculated the following way : according to the present invention , these corrected signals ( i max ( 1 )*, q max ( 1 )*), resp ( i max ( 2 )*, q max ( 2 )*) are used for applying the clipping method . this method is especially advantageous when the peaks are separated by a distance δ smaller than a predefined distance . this predefined distance being preferably equal to the convolution range of two peaks ( i . e . range of the clipping function ). because the clipping function δ ( x ) of a peak drops rapidly with increasing distance from its maximum ( see fig1 a ), the most usual configurations are those where two or three peaks are considered to influence each other . it will however be clear for a person skilled in the art that the method according to the present invention can be generalized to take account of n peaks present in a time domain and influencing each other . in case of two peaks influencing each other , an implementation of the method according to the present invention preferably comprises following steps : step 22 consists in calculating the scaling factors without taking into account the influence of the adjacent peak : s ( i )= 1 − t clip / p max ( i ) ( equation 2 ) d i ( i )= s ( i )* i max ( i ), ( equation 3a ) d q ( i )= s ( i )* q max ( i ), ( equation 3b ). step 23 consists in calculating the corrected signals ( i ( i )*, q ( i )*) for i = 1 , 2 . step 24 consists in calculating the power of the corrected signals i ( i )*, q ( i )*): step 25 consists in calculating the scaling factor t ( i ) corresponding to the corrected signals and taking as a consequence into account the influence of the peaks on each other : step 26 consists in solving the following equation system to obtain the dirac impulses d i ( i ), d q ( i ). d q ( 2 )= d q ( 1 )* δ ( δ )+[ i max ( 2 )− d q ( 1 )] t ( 2 ) the obtained dirac impulses are multiplied with the coefficients of the clipping function δ ( x ) to generated weighted clipping function coefficients . preferably , the clipping function consists in 256 coefficients . however any clipping functions known in the art could be used in the framework of the present invention . step 27 consists in subtracting the weighted clipping function coefficients with the input signals ( i ( 1 ), q ( 1 )), ( i ( 2 ), q ( 2 )) ( according to the equation system i c ( i )= i ( i )− d i ( i )* δ ( δ i ), q c ( i )= q ( i )− d q ( i )* δ ( δ i )). according to the present invention , this method guaranties that no overclipping occurs and that the clipped signal reaches the predefined threshold t clip . in a preferred embodiment of the invention several iterations of the method are repeated to improve the performance of the clipping method according to the present invention . in this embodiment steps 23 to 26 are repeated until the number of iterations is reached . in a further preferred embodiment of the present invention , a step of hard clipping is applied to the signal clipped with several iterations of the method according to the present invention . it will be clear for a person skilled in the art that the method according to the present invention can be extended to an approach with n peaks influencing each other . it represents a direct generalization of the previous equations and leads to an equation systems having d i ( i ), d q ( i ) for 1 & lt ;= i & lt ;= n as parameters and which should be solved according to usual equation systems solving methods which will not be further described . fig3 shows an embodiment of a transmitter according to the present invention . the transmitter comprises a clipping module 10 with a signal power calculation module 11 , a peak detector 12 , and a scaling factor calculation module 13 . clipping module 10 receives as input a baseband signal consisting of an in - phase part , input i , and an in - quadrature part , input q . the base band signal is represented in digital form so that clipping module 10 performs digital processing . in - phase , input i , and in - quadrature , input q , parts of the signal are connected to signal power calculation module 11 which determines the magnitude of the signal ( i . e . by determining the module of the vector having the in - phase value as real part and the in - quadrature value as complex part in the complex space ). the signal power is submitted to peak detector 12 which compares the amplitude of the signal magnitude with a predefined threshold value t clip . peak detector 12 determine the different peak amplitudes pmax , the corresponding i and q coordinates imax , qmax and the peak positions tmax . peak detector 12 selects the peak which amplitude is higher than the threshold t clip , that should be taken into account for further processing . a further selection criterion is the number n of peaks to be kept for further processing in a time window of predefined duration . an other selection criterion is the distance between two consecutive peaks . this distance being preferably smaller than a predefined distance ( e . g . the convolution range of the clipping function ( impulse answer ). other peak selection criteria may be envisaged . information on the selected peak amplitude imax , qmax , pmax , tmax is submitted to scaling factor calculation module 13 which calculates a scaling factor to be applied to each peaks taking into account the influence di previous , dq previous and tmax previous of the other peaks located in the convolution range of the peak . in the case n peaks have influence on each other , the influence of all n peaks is taken into account in the scaling factor calculation . scaling factor calculation module 13 further calculates the dirac functions according to step 26 of fig2 to obtain d i and d q . the clipping functions coefficients are weighted with the calculated dirac functions d i and d q and subtracted from the signal input i and input q as usually performed in the art ( i c = i − d i ( i )* δ ( δ i ), q c = q − d q ( i )* δ ( δ i )). it is to be noted that the input signal should be delayed by the appropriate time delay as known by a person skilled in the art . the calculated dirac functions d i and d q are stored in scaling factor calculation module 13 to be used as di previous , dq previous when calculating the dirac functions for next peak . the output of the scaling factor calculation module 13 is passed to module 141 . in module 142 , outputs of module 141 are processed together with input i and input q to give output i and output q , respectively . contrary to usual known clipping methods consisting in saturating the peaks at the threshold value , the method according to the invention consists in applying scaling factors to the peaks which have an amplitude above a predefined threshold t clip which takes as exactly as possible into account the influence of other peaks located in the convolution range of the peak not to generate overclipping effects . the method according to the invention the spectrum of the input signal experiences less distortions than with usual clipping methods . fig4 shows the results of the clipping method according to the present invention . x - coordinate of the diagram represents the time or more precisely the sample number of the signal in the time window , y - coordinate of the diagram represents the amplitude of the signal magnitude . this example has been done using a single carrier signal , it will however be clear for a person skilled in the art that identical results can be obtained for a multi - carrier signal . the section of the signal 41 shown on fig4 normally causes problems for methods ignoring the mutual influences of adjacent peaks having an amplitude higher than a predefined threshold t clip . the curve 42 shows the clipped signal obtained using the method according to the present invention after one iteration and using the two peaks approach . fig5 illustrate an example where the aclr obtained when using different clipping methods are compared . x - coordinate of the diagram represents par of the clipped signal , y - coordinate of the diagram represents aclr in db . curve 51 shows the aclr obtained when applying the clipping method according to the present invention after 3 iterations . curve 52 shows the aclr obtained when applying three iterations of a prior art clipping method which does not take into account the mutual interaction on close peaks . for par higher than about 4 db , the aclr increases significantly for curve 52 . on the contrary using the method according to the present invention the aclr increases slightly in the same domain and remains lower than the value aclr threshold guarantying good performance in term of peak code domain error and bit error rate in the telecommunication network . the result of the clipping method according to the present invention leaves almost unchanged the aclr up to a peak to average ratio equal to about 4 db .