**Part Number:** MSP430FR5994

Hi,

We are testing FFT with LEA with the sample codes from the TI design

"TIDM-FILTERING-SIGNALPROCESSING"

This sample code is designed for "256-point complex FFT" but we need 512-point.

In this sample code define LEARAM

struct FftData_s

{

_q15 input[VECTOR_SIZE*2];

_q15 samples[VECTOR_SIZE*2];

_q15 hamming[VECTOR_SIZE];

} fftDataParam;

When VECTOR_SIZE= 256.this structure need RAM: 2560bytes

we need 512-point complex FFT, so define VECTOR_SIZE = 512

we define 1 channel AD sample

struct FftData_s

{

_q15 input[VECTOR_SIZE*2];

_q15 samples[VECTOR_SIZE];

_q15 hamming[VECTOR_SIZE];

} fftDataParam;

if VECTOR_SIZE = 512,the structure need 4096bytes,But it's beyond the limit of LEARAM(-Z(DATA)LEARAM=2C00-3AC7).

Could you please let us know how to solve this question?

Don't we use the Hamming window to reduce the length of LEARAM?