Signal Processing Method and Apparatus

A method, comprising:

• decomposing an input signal to obtain M decomposed signals, wherein frequency bands of the M decomposed signals do not overlap with each other, the input signal is a frequency-domain signal with N sampling points, a sum of sampling points of the M decomposed signals is N, M is an integer greater than or equal to 2, and N is a positive integer;
• separately performing inverse fast Fourier transform (IFFT) on the M decomposed signals to obtain M time-domain signals;
• separately performing interpolation on the M time-domain signals to obtain M interpolated signals, wherein a quantity of sampling points of each interpolated signal is N;
• separately filtering the M interpolated signals to obtain M filtered signals;
• and
• determining output signals according to the M filtered signals.

A method, comprising:

• performing M-way first filtering on an input signal to decompose the input signal into M first filtered signals, wherein the input signal is a time-domain signal with N sampling points, frequency bands of the M first filtered signals do not overlap with each other, M is an integer greater than or equal to 2, and N is a positive integer;
• separately performing extraction on the M first filtered signals to obtain M extracted signals, wherein a sum of sampling points of the M extracted signals is N;
• separately performing fast Fourier transform (FFT) on the M extracted signals to obtain M frequency-domain signals;
• and
• separately performing frequency-domain processing on the M frequency-domain signals to obtain M frequency-domain processed signals.

The method according to claim ii, further comprising:

• separately performing inverse fast Fourier transform (IFFT) on the M frequency-domain processed signals to obtain M time-domain signals;
• separately performing interpolation on the M time-domain signals to obtain M interpolated signals, wherein a quantity of sampling points of each interpolated signal is N;
• separately performing second filtering on the M interpolated signals to obtain M second filtered signals;
• and
• determining output signals according to the M second filtered signals.

An apparatus, comprising:

• one or more processors;
• and
• a non-transitory computer-readable storage medium storing a program to be executed by the one or more processors, the program including instructions for:
• filtering an input signal using M filters to obtain M filtered signals, wherein the input signal is a time-domain signal with N sampling points, frequency bands of the M filtered signals do not overlap with each other, M is an integer greater than or equal to 2, and N is a positive integer;
• respectively extracting, by M extractors, the M filtered signals to obtain M extracted signals, wherein the M extractors are connected to the M filters in a one-to-one correspondence, and a sum of sampling points of the M extracted signals is N;
• respectively performing, by M fast Fourier transform (FFT) transformers, fast Fourier transform (FFT) on the M extracted signals to obtain M frequency-domain signals, wherein the M FFT transformers are connected to the M extractors in a one-to-one correspondence;
• and
• obtaining output signals according to the M frequency-domain signals.

An apparatus, comprising:

• one or more processors;
• and
• a non-transitory computer-readable storage medium storing a program to be executed by the one or more processors, the program including instructions for:
• decomposing an input signal to obtain M decomposed signals, wherein frequency bands of the M decomposed signals do not overlap with each other, the input signal is a frequency-domain signal with N sampling points, a sum of sampling points of the M decomposed signals is N, M is an integer greater than or equal to 2, and N is a positive integer;
• separately performing, by M inverse fast Fourier transform (IFFT) transformers, IFFT on the M decomposed signals to obtain M time-domain signals, wherein the M decomposed signals are respectively input into the M IFFT transformers in a one-to-one correspondence;
• separately performing, by M interpolators, interpolation on the M time-domain signals to obtain M interpolated signals, wherein the M interpolators are connected to the M IFFT transformers in a one-to-one correspondence, and a quantity of sampling points of each interpolated signal is N;
• separately filtering, by M filters, the M interpolated signals to obtain M filtered signals, wherein the M filters are connected to the M interpolators in a one-to-one correspondence;
• and
• determining output signals according to the M filtered signals.