In this video you will see how to solve Problem on Windowing Technique in FIR Filter
Windowing Technique
Windowing technique is the straight forward method to obtain the filter impulse response with minimal computational effort and relative success of windows is due to their
simplicity and in ease of use. The Finite Impulse Response sequence used in FIR filter design are obtained from infinite duration impulse response by truncating the infinite series at n = + N.
In signal processing, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued outside of some chosen interval. For instance, a function that is constant inside the interval and zero elsewhere is called a rectangular window, which describes the shape of its graphical representation. When another function or waveform/data-sequence is multiplied by a window function, the product is also zero-valued outside the interval: all that is left is the part where they overlap, the ""view through the window"". Windowing of a simple waveform like cos ωt causes its Fourier transform to develop non-zero values (commonly called spectral leakage) at frequencies other than ω. The leakage tends to be worst (highest) near ω and least at frequencies farthest from ω.