VH
VHDL pseudo random number tutorial
Hacker NewsVHDL pseudo random number tutorial
Six chapter tutorial - Pseudo random number generation with VHDL, Vivado and Matlab: 1. Initial LFSR code 2. LFSR testbench 3. Upgrading the LFSR code (using symbolic constants, etc.) 4. Exporting the VHDL simulation data to files 5. Checking the data with Matlab algorithms 6. Analyzing the output data with Matlab (FFT) http://fpgasite.blogspot.co.il/2017/04/pseudo-random-generator-tutorial.html
Share cardActual performance
2points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntUnlikely to reach the leaderboard · Strong signals: using, code · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto41%41% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Nu
Nummberr a random number generator PWA43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nummberr a random number generator PWA
Hacker News4My
My Nuclear RNG (Random Number Generator)41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Nuclear RNG (Random Number Generator)
Hacker News8A
A Pseudo-Random Number Generator Predictor in Java33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Pseudo-Random Number Generator Predictor in Java
Hacker News5La
Lava Lamps as a Service – Random number API powered by lava lamps57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lava Lamps as a Service – Random number API powered by lava lamps
Hacker News3Ps
Pseudo-Random Number Generator Prediction Concept in Java38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pseudo-Random Number Generator Prediction Concept in Java
Hacker News2Pa
Painting by Prime Number49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Painting by Prime Number
Hacker News2Th
The number 4251%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The number 42
Hacker News1ar
are you a Number Maniac?51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
are you a Number Maniac?
Hacker News6Nu
Number Maniac51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Number Maniac
Hacker News1Ge
Get your EAN/UPC number with Bitcoins51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get your EAN/UPC number with Bitcoins
Hacker News1