The JM-Filter to Detect Specific Frequency in Monitored Signal

The Discrete Fourier Transform (DFT) is a mathematical procedure that stands at the center of processing inside digital signal processor. It has been widely known and argued in relevant literature Fast (FFT) useless detecting specific frequencies monitored length N because most computed results are ignored. In this paper, we present an efficient FFT-based method to detect signal, which will then be compared frequently used recursive Goertzel algorithm detects analyses one selectable frequency component from discrete signal. proposed JM-Filter presents reduction iterations first second order by factor r, where r represents radix JM-Filter. obtained significant terms computational accuracy fixed-point implementation. Gains 15 dB 19 quantization noise ratio (SQNR) were respectively observed for radix-8 comparison algorithm.