Help plotting FFT from column vector with real and imaginary parts.

Hello, I'm attempting to plot the fft from the data taken from an oscilloscope and saved in Excel.
I've saved the data in matlab as a column vector with 200 data points of real and imaginary parts, called 'data', and I'm trying to get an accurate FFT plot. The plot that comes out doesn't look like the FFT spikes I'm expecting; rather its just a strange squiggle. I was wondering if anybody has any insight into what I'm doing wrong. My code is:
>> freq = fft (data)
freq =
-1.2128 + 0.0000i
2.1644 + 5.0673i
0.2578 + 1.0098i
0.0654 + 0.6253i
0.0270 + 0.4352i
0.0174 + 0.3877i
0.0068 + 0.3035i
-0.0008 + 0.2554i
-0.0048 + 0.2123i
-0.0101 + 0.1999i
0.0021 + 0.1944i
-0.0191 + 0.1507i
-0.0352 + 0.1421i
-0.0275 + 0.1331i
-0.0235 + 0.1287i
-0.0528 + 0.1290i
-0.0094 + 0.0996i
-0.0388 + 0.0833i
-0.0216 + 0.0892i
-0.0338 + 0.0902i
-0.0159 + 0.0837i
-0.0284 + 0.0609i
-0.0360 + 0.0834i
-0.0358 + 0.0962i
-0.0206 + 0.0791i
-0.0261 + 0.0670i
-0.0314 + 0.0603i
-0.0204 + 0.0536i
-0.0122 + 0.0511i
-0.0247 + 0.0404i
-0.0297 + 0.0425i
-0.0275 + 0.0417i
-0.0325 + 0.0510i
-0.0250 + 0.0568i
-0.0192 + 0.0415i
-0.0296 + 0.0531i
-0.0199 + 0.0475i
-0.0255 + 0.0470i
-0.0340 + 0.0470i
-0.0225 + 0.0298i
-0.0254 + 0.0361i
-0.0179 + 0.0413i
-0.0312 + 0.0294i
-0.0364 + 0.0124i
-0.0237 + 0.0331i
-0.0264 + 0.0207i
-0.0172 + 0.0344i
-0.0181 + 0.0243i
-0.0486 + 0.0343i
-0.0056 + 0.0411i
-0.0436 + 0.0328i
-0.0230 + 0.0237i
-0.0372 + 0.0243i
-0.0291 + 0.0368i
-0.0212 + 0.0038i
-0.0266 + 0.0212i
-0.0309 + 0.0148i
-0.0411 + 0.0130i
-0.0279 + 0.0245i
-0.0151 + 0.0134i
-0.0347 + 0.0158i
-0.0324 + 0.0211i
-0.0287 + 0.0202i
-0.0305 + 0.0307i
-0.0145 + 0.0180i
-0.0227 + 0.0106i
-0.0480 + 0.0169i
-0.0270 + 0.0098i
-0.0301 + 0.0193i
-0.0271 + 0.0160i
-0.0410 + 0.0047i
-0.0239 + 0.0182i
-0.0198 + 0.0074i
-0.0419 + 0.0206i
-0.0228 + 0.0139i
-0.0150 + 0.0014i
-0.0281 + 0.0141i
-0.0280 + 0.0145i
-0.0460 + 0.0218i
-0.0194 + 0.0152i
-0.0303 - 0.0020i
-0.0215 + 0.0226i
-0.0372 - 0.0002i
-0.0243 + 0.0146i
-0.0262 + 0.0152i
-0.0350 + 0.0149i
-0.0252 + 0.0092i
-0.0154 + 0.0027i
-0.0391 - 0.0037i
-0.0301 + 0.0099i
-0.0439 - 0.0088i
-0.0103 + 0.0423i
-0.0094 - 0.0096i
-0.0434 + 0.0049i
-0.0310 + 0.0006i
-0.0493 + 0.0002i
0.0009 + 0.0156i
-0.0324 - 0.0052i
-0.0360 + 0.0146i
-0.0138 - 0.0139i
-0.0548 + 0.0000i
-0.0138 + 0.0139i
-0.0360 - 0.0146i
-0.0324 + 0.0052i
0.0009 - 0.0156i
-0.0493 - 0.0002i
-0.0310 - 0.0006i
-0.0434 - 0.0049i
-0.0094 + 0.0096i
-0.0103 - 0.0423i
-0.0439 + 0.0088i
-0.0301 - 0.0099i
-0.0391 + 0.0037i
-0.0154 - 0.0027i
-0.0252 - 0.0092i
-0.0350 - 0.0149i
-0.0262 - 0.0152i
-0.0243 - 0.0146i
-0.0372 + 0.0002i
-0.0215 - 0.0226i
-0.0303 + 0.0020i
-0.0194 - 0.0152i
-0.0460 - 0.0218i
-0.0280 - 0.0145i
-0.0281 - 0.0141i
-0.0150 - 0.0014i
-0.0228 - 0.0139i
-0.0419 - 0.0206i
-0.0198 - 0.0074i
-0.0239 - 0.0182i
-0.0410 - 0.0047i
-0.0271 - 0.0160i
-0.0301 - 0.0193i
-0.0270 - 0.0098i
-0.0480 - 0.0169i
-0.0227 - 0.0106i
-0.0145 - 0.0180i
-0.0305 - 0.0307i
-0.0287 - 0.0202i
-0.0324 - 0.0211i
-0.0347 - 0.0158i
-0.0151 - 0.0134i
-0.0279 - 0.0245i
-0.0411 - 0.0130i
-0.0309 - 0.0148i
-0.0266 - 0.0212i
-0.0212 - 0.0038i
-0.0291 - 0.0368i
-0.0372 - 0.0243i
-0.0230 - 0.0237i
-0.0436 - 0.0328i
-0.0056 - 0.0411i
-0.0486 - 0.0343i
-0.0181 - 0.0243i
-0.0172 - 0.0344i
-0.0264 - 0.0207i
-0.0237 - 0.0331i
-0.0364 - 0.0124i
-0.0312 - 0.0294i
-0.0179 - 0.0413i
-0.0254 - 0.0361i
-0.0225 - 0.0298i
-0.0340 - 0.0470i
-0.0255 - 0.0470i
-0.0199 - 0.0475i
-0.0296 - 0.0531i
-0.0192 - 0.0415i
-0.0250 - 0.0568i
-0.0325 - 0.0510i
-0.0275 - 0.0417i
-0.0297 - 0.0425i
-0.0247 - 0.0404i
-0.0122 - 0.0511i
-0.0204 - 0.0536i
-0.0314 - 0.0603i
-0.0261 - 0.0670i
-0.0206 - 0.0791i
-0.0358 - 0.0962i
-0.0360 - 0.0834i
-0.0284 - 0.0609i
-0.0159 - 0.0837i
-0.0338 - 0.0902i
-0.0216 - 0.0892i
-0.0388 - 0.0833i
-0.0094 - 0.0996i
-0.0528 - 0.1290i
-0.0235 - 0.1287i
-0.0275 - 0.1331i
-0.0352 - 0.1421i
-0.0191 - 0.1507i
0.0021 - 0.1944i
-0.0101 - 0.1999i
-0.0048 - 0.2123i
-0.0008 - 0.2554i
0.0068 - 0.3035i
0.0174 - 0.3877i
0.0270 - 0.4352i
0.0654 - 0.6253i
0.2578 - 1.0098i
2.1644 - 5.0673i
>> plot (freq)
Any help would be appreciated.

 采纳的回答

类别

帮助中心File Exchange 中查找有关 Fourier Analysis and Filtering 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by