Title : 
Discrete- and continuous-time local cosine bases with multiple overlapping
         
        
            Author : 
Bernardini, Riccardo ; Vetterli, Martin
         
        
            Author_Institution : 
Dept. of Electr. Eng., Fed. Inst. of Technol., Lausanne, Switzerland
         
        
        
        
        
            fDate : 
12/1/1998 12:00:00 AM
         
        
        
        
            Abstract : 
Cosine-modulated filter banks (CMFBs) are filter banks whose impulse responses are obtained by modulating a window with cosines. Among their applications are video and audio compression and multitone modulation. Their continuous-time counterpart is known as local cosine bases. Even though there is an extended literature on the discrete-time case both for single and multiple overlapping, the continuous-time case has received less attention, and only the single overlapping case has been solved. This work gives a solution to the problem of continuous-time local cosine bases with multiple overlapping via a general theory that emphasizes the deep connection between discrete and continuous time. A sampling theorem for local cosine basis and an efficient algorithm to compute the expansion of a signal are also given
         
        
            Keywords : 
channel bank filters; continuous time filters; discrete time filters; filtering theory; modulation; signal reconstruction; signal sampling; transient response; audio compression; continuous-time local cosine bases; cosine-modulated filter banks; discrete-time local cosine bases; efficient Mallat-like analysis algorithm; efficient algorithm; impulse responses; multiple overlapping; multitone modulation; perfect reconstruction; sampling theorem; signal expansion; video compression; window design; Algorithm design and analysis; Audio compression; Biomedical signal processing; Discrete transforms; Filter bank; Power harmonic filters; Sampling methods; Signal processing algorithms; Technological innovation; Video compression;
         
        
        
            Journal_Title : 
Signal Processing, IEEE Transactions on