reproduces the audio signal after sampling!!!
One of the earliest extensions of this theorem was stated by Shannon himself in his 1949 paper, which says that if x(t)and its first (M – 1) derivatives are available, then uniformly spaced samples of these, taken at the reduced rate of M times, are sufficient to reconstruct x(t) . This result will be referred to as the derivative sampling theorem in this paper. I’m working with M=3 and having trouble designing a synthesis filter with an impulse response of the following form: sinc(t)^3; t.sinc(t)^3; t^2.sinc(t)^3. please help me?One of the earliest extensions of this theorem was stated by Shannon himself in his 1949 paper, which says that if x(t)and its first (M – 1) derivatives are available, then uniformly spaced samples of these, taken at the reduced rate of M times, are sufficient to reconstruct x(t) . This result will be referred to as the derivative sampling theorem in this paper. I’m working with M=3 and having trouble designing a synthesis filter with an impulse response of the following form: sinc(t)^3; t.sinc(t)^3; t^2.sinc(t)^3. please help me? One of the earliest extensions of this theorem was stated by Shannon himself in his 1949 paper, which says that if x(t)and its first (M – 1) derivatives are available, then uniformly spaced samples of these, taken at the reduced rate of M times, are sufficient to reconstruct x(t) . This result will be referred to as the derivative sampling theorem in this paper. I’m working with M=3 and having trouble designing a synthesis filter with an impulse response of the following form: sinc(t)^3; t.sinc(t)^3; t^2.sinc(t)^3. please help me? shannon, derivative sampling theorem, impulse response, sinc, audio singnal MATLAB Answers — New Questions