Dive into a comprehensive lecture series on Digital Signal Processing, covering fundamental concepts and advanced techniques. Explore signals, linear time-invariant systems, convolution, Fourier Series and Transform, frequency response, and z-Transform. Learn about Discrete-Time Fourier Transform, Discrete Fourier Transform, and various Fast Fourier Transform algorithms. Delve into sampling theorem, continuous-time filtering with digital systems, multirate signal processing, and filter design techniques for both FIR and IIR filters. Investigate adaptive filtering, ARMA processes, Wiener filters, gradient descent, and least squares methods. Examine quantization, vocoding, filter banks, and an introduction to wavelets. Gain practical skills with an introduction to MATLAB for DSP applications and Cody Coursework.