Number of conditions: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 Maximum number of samples per condition: 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
Condition 1 name: .ELU file #1: .ELU file #2: .ELU file #3:
.MSL lilbrary file for target identifications (optional):
Email address to receive notification/results (optional):
Click here for some tips on interpreting the results that SpectConnect gives you.
NOTE: We have finally migrated this server to Georgia Tech! This also has resulted in a significant increase in computational speed (the previous server was well over a decade old), so hopefully jobs will be returned a bit more quickly. There may be some growing pains as the job queue scripts are tweaked on the new server --- if you encounter any difficulties, please don't hesitate to send email to marksty <at> gatech <dot> edu.
Source code: Here is all of the source code needed to run SpectConnect so that you can use it on your own computer/server via a command-line interface. This will require Python and a C compiler. It has some software library requirements that are described at the home page for Gemoda, a software package used by SpectConnect. In addition, it requires a relatively recent version of Python and SciPy, which may itself have some requirements such as NumPy. Though documentation is sparse, using a "--help" flag will give a starting point for using this command line interface.
If you'd like some sample files, feel free to download this file and this file to your computer (right-click each link and choose "Download" or "Save link target as"), adjust the parameters above, and then use the "Browse..." buttons above to find them and give them back to SpectConnect as input.
This page was written for W3C standards-compliant browsers; browsers that do not follow these standards (e.g., IE before 6.0) may display suboptimally. Thanks for understanding.
Note that your input files and libraries are not stored; once your results have been generated, these files are deleted to ensure your privacy. Results are saved for a set period of time to allow you to access them and are automatically deleted after that time.
Questions? Please don't hesitate to email us at marksty <at> gatech <dot> edu