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Hi, Here is my take on the EQ. Please report your finding positive or negative! The following EQs are “anechoic” EQs to get the speaker right before room integration. If you able to implement these EQs you must add EQ at LF for room integration, that is usually not optional… see hints there...

Hi, Here is my take on the EQ. Please report your finding positive or negative! The following EQs are “anechoic” EQs to get the speaker right before room integration. If you able to implement these EQs you must add EQ at LF for room integration, that is usually not optional… see hints there...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Hi, Here is my take on the EQ. Please report your finding positive or negative! The following EQs are “anechoic” EQs to get the speaker right before room integration. If you able to implement these EQs you must add EQ at LF for room integration, that is usually not optional… see hints there...

Hi, Here is my take on the EQ. Please report your finding positive or negative! The following EQs are “anechoic” EQs to get the speaker right before room integration. If you able to implement these EQs you must add EQ at LF for room integration, that is usually not optional… see hints there...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Hi, Here is my take on the EQ. Please report your finding positive or negative! The following EQs are “anechoic” EQs to get the speaker right before room integration. If you able to implement these EQs you must add EQ at LF for room integration, that is usually not optional… see hints there...

Hi, Score No EQ: 5.9/ 7.3 Not sure if it is relevant... Score With EQ: 6.7/ 8.1 No EQ Spinorama EQ Spinorama Radar

Hi, For @BoredErica The average data shows that ASR data is not as smooth as the others therefore the EQ I originally designed might be too specific to the tested unit in the 800 - 2000Hz range. I have scanned the average data and derived an "averaged" Spinorama from the ASR data. It is not...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Two factors: 1. The -4dB trim @LF changes the -6dB point of the speaker form 58.6 to 64.5, this parameters has a heavy weight on the metric 2. The slope of the PIR, the steeper the higher the SM PIR, with similar NBD PIR, which is also a heavy weight on the metric. Looking at the sub score 7.5...

Hi, Great effort again! Score probably not comparable to the data gathered using the NFS due to the smoothing effect of the windowing and I don't know if the PIR/ER is correctly calculated by Vituixcad. In addition these speakers are probably intended for near filed in which case the score...

Here are some thoughts about the EQ. Notes about the EQ design: The average L/R is used to calculate the score. The resolution is 12 points per octave interpolated from the raw data (provided by @amirm) A Genetic Algorithm is used to optimize the EQ. The EQ Score is designed to MAXIMIZE the...

Hi, Here is my take on the EQ. The following EQs are “anechoic” EQs to get the speaker right before room integration. If you able to implement these EQs you must add EQ at LF for room integration, that is usually not optional… see hints there...